Nature-inspired novel and radical computing

The traditional 'Von Neumann' computing architecture is serial and digital. This way of organising things has proved to be very powerful and has allow ed spectacular progress in computation, riding on the back of spectacular i ncreases in speed of the central processor. Though the Von Neumann model has outstripped futurologists' dreams in its f avoured domains, it has failed to meet expectations in others. Highly paral lel, asynchronous, distributed problems highlight its weaknesses. Such comp lexity is inevitable in today's highly connected networks and dynamic envir onments with information asymmetries and delays, and myriad interactions am ong components. There are two ways to address the shortcomings in difficult but important problem domains like these. One is to increase the speed of traditional computing. This is being done, with year-on-year increases in h ardware and software performance. The second is to seek new computational a rchitectures which address problems more efficiently. This is also an activ e research area, and it is the subject of this paper. We are drawing inspirations from nature to deal with the twin challenges of parallel asynchronous problem domains and network system complexity that c haracterise the information age.